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--- |
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model_type: GPT2LMHeadModel |
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architectures: |
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- GPT2LMHeadModel |
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model_filename: pytorch_model.bin |
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config: |
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activation_function: gelu_new |
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attn_pdrop: 0.1 |
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bos_token_id: 100313 |
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embd_pdrop: 0.1 |
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eos_token_id: 100313 |
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initializer_range: 0.02 |
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layer_norm_epsilon: 0.00001 |
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n_ctx: 256 |
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n_embd: 256 |
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n_head: 16 |
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n_layer: 24 |
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n_positions: 256 |
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n_special: 0 |
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predict_special_tokens: true |
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resid_pdrop: 0.1 |
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summary_activation: null |
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summary_first_dropout: 0.1 |
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summary_proj_to_labels: true |
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summary_type: cls_index |
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summary_use_proj: true |
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task_specific_params: |
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text-generation: |
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do_sample: true |
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max_length: 255 |
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vocab_size: 100314 |
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license: apache-2.0 |
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datasets: |
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- vicgalle/alpaca-gpt4 |
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language: |
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- en |
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metrics: |
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- bleu |
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- accuracy |
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library_name: transformers |
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pipeline_tag: text-generation |
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--- |
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# QNetworkGPT2Mini: Reinventing Text Generation with AI 📝🤖 |
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--- |
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## Hyperameters used |
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Here's a consolidated list of hyperparameters for your QNetworkGPT2 RL model: |
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- `input_dim`: Input dimension for the RL agent. |
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- `output_dim`: Output dimension for the RL agent. |
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- `hidden_dim`: Hidden dimension for the RL agent. |
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- `num_episodes`: Number of training episodes. |
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- `generate_interval`: Interval for text generation during training. |
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- `load_path`: Path to load a pre-trained model. |
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- `model_name`: GPT-2 model architecture name. |
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- `max_new_tokens`: Maximum new tokens allowed during text generation. |
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- `max_length`: Maximum sequence length for input data. |
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- `sequence_length`: Length of sequences in the dataset. |
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- `batch_size`: Batch size for training. |
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- `learning_rate`: Learning rate for optimization. |
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- `gamma`: Discount factor for rewards. |
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- `clip_epsilon`: Epsilon value for policy loss clipping. |
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- `entropy_beta`: Beta value for entropy regularization. |
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- `epsilon_start`: Initial epsilon for epsilon-greedy exploration. |
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- `epsilon_end`: Minimum epsilon value. |
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- `epsilon_decay`: Epsilon decay rate. |
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- `heuristic_fn`: Heuristic function for action selection. |
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- `max_new_tokens`: Maximum new tokens allowed during text generation. |
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- `save_path`: Path to save the trained model. |
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Researchers can use these hyperparameters to configure and train their QNetworkGPT2 RL models effectively for text generation tasks. |
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--- |
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--- |
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## Overview |
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QNetworkGPT2 is an extraordinary AI model that marries Reinforcement Learning (RL) with the power of the GPT-2 language model to create impressive text generation experiences. 🚀 |
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## Capabilities |
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### 1. Ultimate Flexibility |
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- Craft RL agents for diverse text generation tasks. |
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- Customize hyperparameters effortlessly. |
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- Harness the brilliance of GPT-2 for text generation magic. |
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### 2. Q-Network for Mastery |
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- Unleash the QNetwork class for Q-learning in text generation. |
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- Revel in its multi-layer neural network architecture with residual connections and strategic dropout rates. |
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- Empower your model with heuristic functions for ingenious action selection. |
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### 3. PPO Algorithm |
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- Embrace the Proximal Policy Optimization (PPO) algorithm for supreme policy updates. |
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- Sculpt policies with the wisdom of experiences and rewards. |
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### 4. Tailored RL Environment |
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- Tailor-make your own RL environment for text generation quests. |
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- Reward the AI with BLEU scores and semantic similarity. |
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- Dance through text generation steps with episode-ending conditions. |
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### 5. Replay Buffer and Memory |
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- Store and summon experiences with grace in a replay buffer. |
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- Command a replay memory class to oversee experiences like a pro. |
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### 6. Epsilon-Greedy Exploration |
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- The agent employs epsilon-greedy exploration for marvelous discoveries. |
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### 7. Target Network for Rock-Solid Stability |
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- Keep target networks in check for unwavering stability during Q-learning escapades. |
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--- |
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## How It Operates |
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1. Birth an RL Agent, fine-tuned to your desires. |
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2. Train the agent using PPO magic or embrace Q-learning for epic journeys. |
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3. Birth text from input data with the policy network. |
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4. Evaluate the text's quality using BLEU and semantic beauty. |
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5. Commence your custom RL environment for text generation marvels. |
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--- |
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## Uniqueness and Epicness |
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- The union of RL and GPT-2 for text generation mastery. |
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- Advanced text tasks unfold gracefully with QNetwork and its heuristic powers. |
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- The limitless canvas to create RL agents for every text challenge. |
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- Rewarding text quality and semantic harmony with AI-calculated rewards. |
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- The blueprint for a customizable and adaptable RL text generation paradise. |
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--- |
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## Get Started Now |
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1. Forge your QNetworkGPT2 with personalized hyperparameters. |
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2. Unleash the potential with RL-based training. |
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3. Conjure text aligned with your task and dream. |
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4. Assess the text with metrics and demands. |
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5. Fine-tune and enhance for your text generation quest. |
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--- |
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# Load model directly |
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from transformers import AutoTokenizer, AutoModelForCausalLM |
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tokenizer = AutoTokenizer.from_pretrained("ayjays132/QNetworkGPT2") |
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model = AutoModelForCausalLM.from_pretrained("ayjays132/QNetworkGPT2") |
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# Set the EOS token as the padding token |
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tokenizer.pad_token = tokenizer.eos_token |
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# Initialize a conversation history |
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conversation_history = [] |
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# Start a conversation loop |
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while True: |
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# Get user input |
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user_input = input("You: ") |
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# Add user input to the conversation history |
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conversation_history.append(user_input) |
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# Concatenate the conversation strings |
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conversation_text = " ".join(conversation_history) |
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# Tokenize and pad the input |
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input_ids = tokenizer.encode(conversation_text, return_tensors="pt", padding=True, truncation=True) |
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# Generate a response |
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output_ids = model.generate(input_ids, max_length=150, num_return_sequences=1, pad_token_id=tokenizer.eos_token_id) |
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# Decode the generated response |
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generated_response = tokenizer.decode(output_ids[0], skip_special_tokens=True) |
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# Print the generated response |
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print("Bot:", generated_response) |
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# Add bot's response to the conversation history |
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conversation_history.append(generated_response) |
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--- |
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## Explore and Create |
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QNetworkGPT2 is your ticket to exploring new horizons in text generation. From chatbots and content creation to storytelling and beyond, it's your AI companion for all text adventures. 🌟 |
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Embrace innovation, adaptation, and expansion to conquer your unique text generation challenges. Your text generation revolution starts here! 📚🤖 |
